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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 255
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tten
    -0.82
    eatures
    -0.80
    tch
    -0.77
    ppelin
    -0.76
    ollower
    -0.74
    hower
    -0.74
    nces
    -0.72
    iences
    -0.71
    essor
    -0.67
    ld
    -0.66
    POSITIVE LOGITS
    imum
    0.68
     orthodoxy
    0.68
     interpre
    0.67
     conclusions
    0.67
     volunt
    0.65
     storylines
    0.62
     epist
    0.61
     Mysteries
    0.61
     terminology
    0.61
     methodological
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.